Energy Cost Optimization in Microgrids Using Model Predictive Control and Mixed Integer Linear Programming

Rama K. Bonthu, Ricardo P. Aguilera, Ha Pham, Manh Duong Phung, Quang P. Ha
2019 2019 IEEE International Conference on Industrial Technology (ICIT)  
This paper presents a model predictive control (MPC) approach based on the mixed integer linear programming (MILP) to develop an optimal power management strategy (PMS) for minimizing the electricity bill of commercial buildings in a domestic on-grid system. The optimal PMS is first formulated as a MILP-MPC with time-varying constraints. The constraints are then linearized at each sampling time so that a receding horizon principle can be used to determine the control input applied to the plant
more » ... nd update the model. The time-varying efficiency of power electronic converters is evaluated for each time interval and assumed to be persistent for the prediction time horizon. The numerical results show that the proposed MILP-MPC strategy with variable efficiency is effective in utilizing photovoltaic power generation to save the cost on electricity for buildings.
doi:10.1109/icit.2019.8754971 dblp:conf/icit2/BonthuAPPH19 fatcat:nrzsfgoeynba7iaokb2bhxcbv4